Scientific corpora, such as papers and patents, are great source of information. Incorporating this information into scientific discovery pipelines is a great challenge that could reduce the discovery costs and speed-up the process. Motivating by this fact and leveraging the recent advances of the Natural Language Processing (NLP) domain, we […]
Monthly archives: August 2022
4 posts
This project aims to develop novel algorithms for the maximum weighted clique (MWC) problem, which appears in various data analysis pipelines in precision medicine. The MWC problem is NP-hard in nature, which makes it particularly challenging given the exponentially increasing amount of data it is applied to. Although several attempts […]
Computing devices implement computer arithmetic as basic functionality, and they implement the same, standardized number formats in order to support software portability. However, with Moore’s Law ending, we question whether it remains the best approach to achieve high performance and low energy consumption by applying the same standardized number formats […]
Publications The DiPET project investigates models and techniques that enable distributed stream processing applications to seamlessly span and redistribute across fog and edge computing systems. The goal is to utilize devices dispersed through the network that are geographically closer to users to reduce network latency and to increase the available […]